1.
2 major transitions:
A. Revolution and Collective era
i.
Great Leap Forward
1. Moderate Liu Shao qi, etc. need 1520 years for transition in order to industrialize the country
2.
Radical Maos sid
Chapter 7
Blocking and Confounding
in the 2k Factorial Design
Introduction
In Chapter 5, we were introduced to blocking
in factorial designs.
In Chapter 7, we will focus on some special
techniques for
Stat 102B Computation and Optimization in Statistics
Markov Chain Montecarlo. Introduction
NAME (Last, First): UCLA ID: Date:
J. Sanchez
UCLA Department of Statistics
Topic 1. Introduction
Random nu
Stat 180/C236
Lab 5
0.1
J. Sanchez
UCLA Department of Statistics
Introduction: Gibbs sampling to estimate the joint posterior distribution and marginal distributions of the mean and variance of normal
Stat 102B  Computation and Optimization in Statistics
Homework 6
J. Sanchez
UCLA Department of Statistics
Instructions
(1) You will upload a lastnameID.pdf file, typed, with the answers to all these
Re:
Review of Week 8 (10/19) and Preview of Week 9
Date:
10/19/17
I.
REVIEW OF WEEK 8 MATERIAL (10/19/17)
Tues 10/17

No class
Thurs 10/19


II.
Reviewed Economies of Scale, Learning by Doing, Mini
Stat 102B
Homework 3
J. Sanchez
UCLA Department of Statistics
Instructions
(a) For this homework, you will turn in in class the answers requested, written in the space provided in this template.
Separ
EX P LO RAT IO N 1.1: Can Dogs Understand Human Cues?
Can Dogs Understand Human Cues?
EXPLORATION
Dogs have been domesticated for about 14,000 years. In that time, have they been able to
develop an un
Statistics and Computing
Series Editors:
J. Chambers
D. Hand
W. Hardle
Statistics and Computing
Brusco/Stahl: Branch and Bound Applications in Combinatorial
Data Analysis
Chambers: Software for Data A
Stat 102B  Computation and Optimization in Statistics
Homework 7
J. Sanchez
UCLA Department of Statistics
Instructions
(1) You must turn in at the beginning of class a hard copy of this handout with
Stat 102B  Computation and Optimization in Statistics
Homework 6
J. Sanchez
UCLA Department of Statistics
Instructions
(1) You must turn in at the beginning of class a hard copy of this handout with
Stat 102B  Computation and Optimization in Statistics
Lab assignment 2
J. Sanchez
UCLA Department of Statistics
Instructions
(1) You must turn in this copy with your answers, when an answer is asked
Stat 102B Computation and Optimization in Statistics
Intro to PC
NAME (Last, First): UCLA ID: Date:
J. Sanchez
UCLA Department of Statistics
Introduction: We start now principal components (PC), one
Stat 102B Computation and Optimization in Statistics
Projections
NAME (Last, First): UCLA ID: Date:
J. Sanchez
UCLA Department of Statistics
Topic 1. Introduction: We saw in handout 2 the concept of
STAT 101C
HW 1 due Thursday April 13
1.
Look at the data Heart.csv on the website under Week 1.
These data contain a binary outcome HD for 303 patients who presented with chest pain. An
outcome value
Rosemary Tamayo
Professor Olivia A.
Extra Credit Assignment
06/06/2016
Extra Credit Prototype Stereotype Assignment (The Innocent)
Prototype:
Hi there, my name is Caroline. I am 19 years old was born
Grad Student Career Opportunities in
Technology Consulting
Property of UCLA Career Center, file transfer or distribution is prohibited.
Company/
Firm
Accenture
Booz Allen
Hamilton
Relevant Information
Philos 100a
2nd Paper
Your second paper should be between 67 pages. Your paper should answer one of these two
prompts:
1) In The Republic, Plato gives the analogy of the cave and the sun to illuminat
Addressing Gender Inequality as Social Development Objective
Gender Inequality has been an ongoing social problems in many countries, including
India. There are often prescribed gender roles for male
WORKING TO MAKE THE BALTIMORE REGION STRONGER
With five of its 12 institutions located in the greater Baltimore region and a strong
commitment to community service, the University System of Maryland (
Stat 102B
Midterm 1
J. Sanchez
UCLA Department of Statistics
ROOM: BUNCHE 1209B.
DO NOT DETACH ANY PAGES OF THIS EXAM
UCLA ID: YOUR ID MUST
ALSO BE WRITTEN ON THE SCANTRON AND BOTH SIDES OF YOUR CHEAT
Stats 102B Homework 5
1. Find the gradients and the Hessians of the following functions.
(a) f (x) = xT Ax + bT x + c, where A is a symmetric and negative definite matrix, b is a
vector and c is a sca
Stats 102B Homework 2
1. Let
A=
1 4
2 0
, B=
1 3 0
5 1 2
.
(a) Calculate AB, B T B, BB T , det(A), det(B T B).
(b) Is BB T a positive definite matrix? Why or why not?
2. Find the eigenvalues and eigen
Stats 102B Homework 1
1. Suppose that (X1 , . . . , Xn ) is an iid sample from the Uniform distribution Unif(0, b).
(a) If b is given, find P (b X(n) < ), where (0, b). What happens if n ?
(b) If we h
Stats 102B Homework 3
1. For each of the following bivariate normal distribution, find its principal components,
sketch a typical scatter plot of data from the distribution, and label the eigenvectors
Stats 102B Homework 4
(for practice only)
1. Denote by X = (X1  X2 ) a centered 50 2 data matrix and by SX its variancecovariance
matrix. Suppose the eigenvalues of SX are 1 = 5.4 and 2 = 0.6 and th